New search for missing Malaysia Airlines plane MH370 after 11 years Scientists discovered the tunnels of a possibly unknown ancient lifeform This simple firewood trick made a huge difference in our ...

Dynamic predictive modeling using electronic health record data has gained significant attention in recent years. The reliability and trustworthiness of such models depend heavily on the quality of ...

Abstract: A distributed data service model integrating MySQL, Redis Sentinel, and MyCat is proposed to tackle performance bottlenecks and availability issues in high-concurrency e-commerce systems.

Are you worried about missing out on running workloads on older versions of MySQL after the community ends official support? Well, there’s finally some good news for you. Microsoft today announced a ...

Mechatronic Systems Laboratory, Institute of Machine Design and Systems Technology, Technische Universität Berlin, Berlin, Germany This paper presents the development and experimental validation of a ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Abstract: Data-driven Quality of Experience (QoE) modeling using Machine Learning (ML) is a key enabler for future communication networks as it allows accelerated and unbiased QoE modeling while ...

Hydrological models are widely used to assess climate change effect on water resources at the catchment scale. However, data scarcity is one of the main challenges faced by hydrological modelers ...

In this tutorial, we demonstrate the integration of Python’s robust data manipulation library Pandas with Google Cloud’s advanced generative capabilities through the google.generativeai package and ...